RU ENG
MDC / IIoT platform for industrial equipment

Connect any equipment
to a unified digital enterprise system

Receive real-time data from CNC machines, presses, furnaces, welding equipment, automated lines and other industrial assets.

Create the foundation for MES, ERP, predictive analytics and industrial AI
Get an enterprise audit
Industrial automation and production digitalization
EngineMDC / IIoT Platform
10-30%Downtime reduction
10-20%OEE growth
6 monthsPayback

Trusted by

Real results

Digitalization that can be measured in money

Measurable implementation results that pay back within months

10-30% Downtime reduction
10-20% OEE growth
+15% Output increase
-20% Cost reduction
from 6 mo. Project payback*

Fast payback

The average project payback period is 6 to 12 months, depending on production scale and specifics.

Positive impact from the first month

Scalable ROI

Start with a pilot area and scale the solution across the enterprise as the economic effect is confirmed.

Effect grows with scaling

* Payback period depends on implementation scale and industry

Connect a mixed fleet of industrial equipment

ENGINE works with modern lines, CNC machines and legacy equipment without digital interfaces.

The production loss iceberg

Do not become the Titanic facing an iceberg of losses

Only 20% of losses are visible. The hidden 80% quietly reduce your profit every day.

Visible losses 20%
  • Breakdowns
  • Repairs
  • Scheduled downtime
Hidden losses 80%
  • Micro-stops and idle running
  • Waiting for operator
  • Organizational downtime
  • Underloaded equipment
  • Quality losses
  • Inaccurate planning data
15-25% productivity losses
30-40% cost increase

ENGINE makes hidden losses visible

Get real-time data and identify losses before they affect profit.

Find hidden losses
Critical problems

Losses without MDC are money that goes to competitors

1

Real downtime is unknown

Downtime reasons are recorded manually or not recorded at all, so decisions are made blindly.

Up to 25% hidden losses
2

No objective equipment utilization

Planning is based on assumptions.

Underload up to 40%
3

No single source of data

Each area works in its own information silo.

Coordination losses
4

Legacy equipment cannot be connected

As a result, parts of production remain blind spots.

Incomplete picture
5

AI cannot be implemented

There is no high-quality structured production data.

Missed potential

Result without MDC

↓ 15-30%Lost profit
↓ 10-25%OEE reduction

Missed deadlines, high production costs and lost competitiveness.

From machine to management decision in one system

The platform collects equipment data, stores it, analyzes it and sends it to production, management and analytics systems.

STEP 1
Source

Equipment

  • CNC and universal machines
  • Presses
  • Robots and lines
  • Welding equipment
  • Furnaces
  • Compressors, scales, plasma and laser systems
Connection protocols
OPC UA Modbus Fanuc Focas SMB MTConnect MQTT Serial (COM / VCOM)
STEP 2 • SYSTEM CORE
Platform

ENGINE

  • Data collectionReal-time
  • StorageBig Data
  • AnalyticsAI/ML
  • NotificationsInstant
STEP 3
Integration

Systems

  • MESProduction management
  • ERP1C, SAP and others
  • SCADADispatching
  • BIPower BI, Tableau
  • AI/MLAI agents
Result

Unified data ecosystem

One platform, different results for every role

ENGINE solves tasks at every enterprise level

1
For role

Production

  • Equipment utilization
  • Downtime control
  • OEE growth
  • Output tracking
  • Real-time dispatching
2
For role

Chief Engineer

  • Equipment condition monitoring
  • Event and alarm history
  • Maintenance and planning
  • Technical analytics
3
For role

IT Team

  • Unified integration platform
  • APIs and open protocols
  • Security and scalability
  • Easy system integration
4
For role

Management

  • Enterprise transparency
  • KPI and analytics in numbers
  • Data-driven decisions
  • Fast ROI for digital projects

Connect both modern and legacy equipment

For each equipment type, the right connection method is selected: standard industrial protocols, interfaces or additional sensors.

1

Native connection

Ethernet + industrial protocol

Protocols

JSONFTPXMLARMDTelnetS7SMBSerial (COM / VCOM)Fanuc FocasHAAS MDCMTConnectModbusMQTTOPC UAHNC NCLinkHeidenhain
Ready to use
2

Semi-native connection

RS-232 / RS-485 / CAN and other interfaces

Protocols / sensors

RS-232RS-485CANModbus (TCP, ASCII, RTU)ScalesProprietaryOther
Fast connection
3

Retrofitting

For equipment without digital interfaces

Protocols / sensors

Current sensorVibration sensorTemperature sensorDigital signals
Universal solution

Ready for industrial integration

The platform supports industrial protocols, open APIs and scaling scenarios from one machine to an entire enterprise or holding.

Supported protocols and interfaces

13+ industrial protocols out of the box

JSON FTP XML Serial (COM / VCOM) Telnet SMB Fanuc Focas HAAS MDC MTConnect Modbus OPC UA ARMD MQTT HNC NCLink S7 Heidenhain RS-232 RS-485 CAN

Technical capabilities

Everything needed for industrial IoT

Online data collection

Instant data transfer from equipment

Data buffering during outages

Automatic storage when connection is lost

Large-volume data storage

Scalable data storage

Flexible rules and notifications

Alert and trigger configuration

Web dashboards and mobile access

Access from anywhere

Open integration APIs

REST API, GraphQL, WebSocket

Simple process

We will show what data you can collect right now

The audit helps you understand which machines and lines can be connected, what data is available, and what impact your enterprise can achieve.

Submit a request

Fill out a simple form or call us

We study your equipment fleet

We analyze technical specifications

We show what data can be collected

Platform capabilities demonstration

We propose a connection scheme

Ready solution with ROI calculation

Integrations

We connect equipment to the enterprise digital ecosystem

We unite data from machines, presses, scales, furnaces and automated lines in a unified industrial platform.

Advanced capabilities

Need more capabilities?
We will connect advanced Engine platform modules

Engine scales to enterprise needs: from equipment monitoring and downtime analysis to production planning, MRO, integrations and custom modules.

01

Production efficiency

Downtime cause control, OEE calculation, statistics, analytics and equipment performance metrics.

Downtime OEE Analytics Parts counting and NC programs
02

Production planning

Shift tasks, calendar and volume planning, equipment load and execution control.

Planning Load Shift tasks
03

MRO and equipment

Work orders, maintenance calendar, machine passport, usage statistics and accuracy checks

MRO Machine passport Repairs
04

Improvements and standards

Improvement suggestions, 5S audits, control tests, reports and production safety.

Kaizen 5S Safety
05

Integrations

Connection to Telegram, Max, E-mail, 1C and other accounting systems when API is available.

1C Telegram E-mail API
06

Custom modules

Development of custom functionality for processes, roles and internal enterprise regulations.

Custom build Any logic Scalability

You do not have to implement everything at once — start with basic monitoring and add modules as your needs grow.

Free audit

Discover your production potential

We will audit your equipment and show what data you can collect right now.

No obligations
No production shutdown
Fast start
  • The audit includes equipment analysis, connectivity assessment and potential savings calculation
  • Receive a detailed implementation report within 3 business days

Get an audit

Fill out the form and we will contact you within the day

Frequently asked questions

FAQ

Answers to the most popular questions about the platform

Can legacy equipment be connected?

Yes. ENGINE supports native, semi-native connection and retrofitting with sensors for equipment without digital interfaces.

Do we need to stop production for connection?

No. Connection is performed without stopping the production process, in a window convenient for the enterprise.

Which systems can be integrated?

MES, ERP (1C, SAP), SCADA, BI systems, and AI/ML platforms via REST API, GraphQL and WebSocket.

Can we start with one machine?

Yes. We recommend a pilot project in one area followed by scaling across the enterprise.

What data can be collected?

Operating statuses, downtime, cycles, process parameters, alarms, productivity and other telemetry in real time.

How fast does the project pay back?

Average payback starts from 6 months depending on implementation scale and industry.